{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Image_augmentation.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/PacktPublishing/Modern-Computer-Vision-with-PyTorch/blob/master/Chapter04/Image_augmentation.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CIR7VZ1XRBCY"
      },
      "source": [
        "%%capture\n",
        "!pip install -U imgaug"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "27DMXq3WRtIX",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "37eec11b-047d-440d-b8e8-81afc6aac42d"
      },
      "source": [
        "import imgaug\n",
        "print(imgaug.__version__)"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "0.4.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8dqBSoIUfmoN"
      },
      "source": [
        "import imgaug.augmenters as iaa"
      ],
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0Lrs6ufwfsRh",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f19653eb-ba27-461b-ab61-c1bb3d7c7e32"
      },
      "source": [
        "from torchvision import datasets\n",
        "import torch\n",
        "data_folder = '/content/' # This can be any directory you want to download FMNIST to\n",
        "fmnist = datasets.FashionMNIST(data_folder, download=True, train=True)"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/torchvision/datasets/mnist.py:498: UserWarning: The given NumPy array is not writeable, and PyTorch does not support non-writeable tensors. This means you can write to the underlying (supposedly non-writeable) NumPy array using the tensor. You may want to copy the array to protect its data or make it writeable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at  /pytorch/torch/csrc/utils/tensor_numpy.cpp:180.)\n",
            "  return torch.from_numpy(parsed.astype(m[2], copy=False)).view(*s)\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uNpLxbc6gGIl"
      },
      "source": [
        "tr_images = fmnist.data\n",
        "tr_targets = fmnist.targets"
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kuGaMbCGgHsd"
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline\n",
        "import numpy as np\n",
        "from torch.utils.data import Dataset, DataLoader\n",
        "import torch\n",
        "import torch.nn as nn\n",
        "device = 'cuda' if torch.cuda.is_available() else 'cpu'\n",
        "\n",
        "def to_numpy(tensor):\n",
        "    return tensor.cpu().detach().numpy()"
      ],
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "o2w1Ac2fgMEY",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 299
        },
        "outputId": "932f07c9-332d-4fba-bef1-f66fee9b2df0"
      },
      "source": [
        "plt.imshow(tr_images[0], cmap='gray')\n",
        "plt.title('Original image')"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Original image')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "x846czVPt6zf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 299
        },
        "outputId": "fdf1544e-1f9a-46db-b1ab-3d16e4707bda"
      },
      "source": [
        "aug = iaa.Affine(scale=2)\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])))\n",
        "plt.title('Scaled image')"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Scaled image')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "px6aanrNt62B",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 299
        },
        "outputId": "51217b39-edab-4b15-d951-17c0100e6aea"
      },
      "source": [
        "aug = iaa.Affine(translate_px=10)\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])), cmap='gray')\n",
        "plt.title('Translated image by 10 pixels (right and bottom)')"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Translated image by 10 pixels (right and bottom)')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "svm9TAnJvbn6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 315
        },
        "outputId": "3b602b41-4897-4b98-8afd-ec46f2848ad1"
      },
      "source": [
        "aug = iaa.Affine(translate_px={'x':10,'y':2})\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])), cmap='gray')\n",
        "plt.title('Translation of 10 pixels \\nacross columns and 2 pixels over rows')"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Translation of 10 pixels \\nacross columns and 2 pixels over rows')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iCOcbS7sxpVg",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 299
        },
        "outputId": "bf525b86-ba68-4e0d-858a-2609298fbb4e"
      },
      "source": [
        "aug = iaa.Affine(rotate=30)\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])), cmap='gray')\n",
        "plt.title('Rotation of image by 30 degrees')"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Rotation of image by 30 degrees')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_JRiQsamxpXx",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 299
        },
        "outputId": "cf6bde8b-a3cf-4539-ba26-843c89524eb2"
      },
      "source": [
        "aug = iaa.Affine(rotate=-30)\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])), cmap='gray')\n",
        "plt.title('Rotation of image by -30 degrees')"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Rotation of image by -30 degrees')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WmxcpYbvx2ct",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 299
        },
        "outputId": "28d20583-0283-41d2-c76d-5a1d0531f029"
      },
      "source": [
        "aug = iaa.Affine(shear=30)\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])), cmap='gray')\n",
        "plt.title('Shear of image by 30 degrees')"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Shear of image by 30 degrees')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LQO41jTTx2fW",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 299
        },
        "outputId": "6bb64817-8fa7-440e-e998-8287a300a028"
      },
      "source": [
        "aug = iaa.Affine(shear=-30)\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])), cmap='gray')\n",
        "plt.title('Shear of image by -30 degrees')"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Shear of image by -30 degrees')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4RD-1tV0zuSm",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 256
        },
        "outputId": "0b704e83-3c6e-49c1-e967-5fad2337f591"
      },
      "source": [
        "plt.figure(figsize=(20,20))\n",
        "plt.subplot(161)\n",
        "plt.imshow(tr_images[0], cmap='gray')\n",
        "plt.title('Original image')\n",
        "plt.subplot(162)\n",
        "aug = iaa.Affine(scale=2, fit_output=True)\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])), cmap='gray')\n",
        "plt.title('Scaled image')\n",
        "plt.subplot(163)\n",
        "aug = iaa.Affine(translate_px={'x':10,'y':2}, fit_output=True)\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])), cmap='gray')\n",
        "plt.title('Translation of 10 pixels across \\ncolumns and 2 pixels over rows')\n",
        "plt.subplot(164)\n",
        "aug = iaa.Affine(rotate=30, fit_output=True)\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])), cmap='gray')\n",
        "plt.title('Rotation of image \\nby 30 degrees')\n",
        "plt.subplot(165)\n",
        "aug = iaa.Affine(shear=30, fit_output=True)\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])), cmap='gray')\n",
        "plt.title('Shear of image \\nby 30 degrees')"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Shear of image \\nby 30 degrees')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x1440 with 5 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "I4sSQxqPzuXa",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 256
        },
        "outputId": "c024fe3c-1dff-4ac1-a019-a3e54bb52701"
      },
      "source": [
        "plt.figure(figsize=(20,20))\n",
        "plt.subplot(161)\n",
        "plt.imshow(tr_images[0], cmap='gray')\n",
        "plt.title('Original image')\n",
        "plt.subplot(162)\n",
        "aug = iaa.Affine(scale=2, fit_output=True)\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])), cmap='gray')\n",
        "plt.title('Scaled image')\n",
        "plt.subplot(163)\n",
        "aug = iaa.Affine(translate_px={'x':10,'y':2}, fit_output=True, cval = 255)\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])), cmap='gray')\n",
        "plt.title('Translation of 10 pixels across \\ncolumns and 2 pixels over rows')\n",
        "plt.subplot(164)\n",
        "aug = iaa.Affine(rotate=30, fit_output=True)\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])), cmap='gray')\n",
        "plt.title('Rotation of image \\nby 30 degrees')\n",
        "plt.subplot(165)\n",
        "aug = iaa.Affine(shear=30, fit_output=True)\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])), cmap='gray')\n",
        "plt.title('Shear of image \\nby 30 degrees')"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Shear of image \\nby 30 degrees')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x1440 with 5 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qXCHS8M0zucP",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 299
        },
        "outputId": "fe1dc67d-57a1-47b1-dc52-1e3b5866986d"
      },
      "source": [
        "aug = iaa.Affine(rotate=30, fit_output=True, cval=255)\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])), cmap='gray')\n",
        "plt.title('Rotation of image by 30 degrees')"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Rotation of image by 30 degrees')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9JUsjQ8f4eZy",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 256
        },
        "outputId": "ce473612-8fa4-4416-d1d2-ee540dbabf9a"
      },
      "source": [
        "plt.figure(figsize=(20,20))\n",
        "plt.subplot(161)\n",
        "aug = iaa.Affine(rotate=30, fit_output=True, cval=0, mode='constant')\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])), cmap='gray')\n",
        "plt.title('Rotation of image by \\n30 degrees with constant mode')\n",
        "plt.subplot(162)\n",
        "aug = iaa.Affine(rotate=30, fit_output=True, cval=0, mode='edge')\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])), cmap='gray')\n",
        "plt.title('Rotation of image by 30 degrees \\n with edge mode')\n",
        "plt.subplot(163)\n",
        "aug = iaa.Affine(rotate=30, fit_output=True, cval=0, mode='symmetric')\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])), cmap='gray')\n",
        "plt.title('Rotation of image by \\n30 degrees with symmetric mode')\n",
        "plt.subplot(164)\n",
        "aug = iaa.Affine(rotate=30, fit_output=True, cval=0, mode='reflect')\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])), cmap='gray')\n",
        "plt.title('Rotation of image by 30 degrees \\n with reflect mode')\n",
        "plt.subplot(165)\n",
        "aug = iaa.Affine(rotate=30, fit_output=True, cval=0, mode='wrap')\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])), cmap='gray')\n",
        "plt.title('Rotation of image by \\n30 degrees with wrap mode')"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Rotation of image by \\n30 degrees with wrap mode')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x1440 with 5 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xguA31pNMfs4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 260
        },
        "outputId": "d88ac13e-fc7d-4e4d-c0b9-2148629baad6"
      },
      "source": [
        "plt.figure(figsize=(20,20))\n",
        "plt.subplot(151)\n",
        "aug = iaa.Affine(rotate=(-45,45), fit_output=True, cval=0, mode='constant')\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])), cmap='gray')\n",
        "plt.subplot(152)\n",
        "aug = iaa.Affine(rotate=(-45,45), fit_output=True, cval=0, mode='constant')\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])), cmap='gray')\n",
        "plt.subplot(153)\n",
        "aug = iaa.Affine(rotate=(-45,45), fit_output=True, cval=0, mode='constant')\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])), cmap='gray')\n",
        "plt.subplot(154)\n",
        "aug = iaa.Affine(rotate=(-45,45), fit_output=True, cval=0, mode='constant')\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])), cmap='gray')"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7fc37927bf90>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x1440 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "e2fD-_dIPv7j"
      },
      "source": [
        ""
      ],
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9cFKjesAPv-y",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        },
        "outputId": "9cae39d7-f1ba-4827-c6cf-df3e398dff14"
      },
      "source": [
        "aug = iaa.Multiply(1)\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])), cmap='gray')"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7fc378d54d10>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 20
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Jfyc8e13Pv5Q",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 299
        },
        "outputId": "2b071110-8eb4-4518-add8-98910da3b33b"
      },
      "source": [
        "aug = iaa.Multiply(0.5)\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])), cmap='gray',vmin = 0, vmax = 255)\n",
        "plt.title('Pixels multiplied by 0.5')"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Pixels multiplied by 0.5')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wfBqBp6uMfqj",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 299
        },
        "outputId": "0031d938-aa06-43b9-9dea-f750de4704bb"
      },
      "source": [
        "aug = iaa.LinearContrast(0.5)\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])), cmap='gray',vmin = 0, vmax = 255)\n",
        "plt.title('Pixel contrast by 0.5')"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Pixel contrast by 0.5')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zqBbV3Zyk0Eb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 299
        },
        "outputId": "1350d802-1a41-4e4e-f070-65b7e19ebca3"
      },
      "source": [
        "aug = iaa.Dropout(p=0.2)\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])), cmap='gray',vmin = 0, vmax = 255)\n",
        "plt.title('Random 20% pixel dropout')"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Random 20% pixel dropout')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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ctQ/tjrefct111yXj559/fjI+6P7skr4tab2kxS2PXSFptaQF9d9pudcxs84ayGH8d4A5/Tz+jYg4uv5LX6ZlZh2XTfaIeAB4YQTqYmbDqJ0TdJ+VtLA+zJ/Y9CRJ8yT1SuptY1lm1qbBJvs3gUOAo4E1wNeanhgRPRExMyLSZ4rMbFgNKtkjYl1EbIuIN4FvAccNbbXMbKgNKtklTW25eyawuOm5ZtYdsu3skr4HzAYmA+uAy+v7RwMBrAA+ExFrsgvrYDv7pEmTkvEXXkifgzzzzDMbY6mx0QE+/vGPJ+Pvfe97k/HcPOWpPuNvvPFGsuwee+yRjD/77LPJeG789Q9+8IODfu3c/Otjx45Nxh966KHG2Pjx45NlTzrppGQ81589d/1B6vO2bt26ZNn3v//9yXhTO3t28IqIOKefh6/NlTOz7uLLZc0K4WQ3K4ST3awQTnazQjjZzQrRVV1cTzjhhGT5+fPnN8YWLFiQLLv33nsn46mumJAeGjg39XCuu2SuCSnXBJUaBjs3FPTSpUuT8bPPPjsZ7+1NXwW95557NsYmTmy8yhrIT5s8gGbjxtj69euTZTdu3JiM57rn5po0U01/e+21V7Js7vPiKZvNCudkNyuEk92sEE52s0I42c0K4WQ3K4ST3awQI97Onmqvfvjhh5Plp06d2hjLtZPn4rl205Tc9Ly5tu52TZgwoTE2efLkZNnzzjsvGb/11luT8dznJ9WN9dVXX02WTU25DNDT05OMp4Z73meffZJlc9c25IboTnU7hnTX4Fz32QMPPDAZdzu7WeGc7GaFcLKbFcLJblYIJ7tZIZzsZoVwspsVoqv6s+eG0H3qqacaY7mhgXPx3XbbLRmfPn16Mp7y2muvJeMrV65MxnNDLr/rXe9qjI0alf4+32+//ZLxM844IxnPDZl85513NsYuueSSZNnUMNQDiafWPdeOnhuuefny5cl4TqqvfW547tS4D2vXruX11193O7tZyZzsZoVwspsVwsluVggnu1khnOxmhXCymxUiO4urpAOAG4ApVFM090TEVZImAf8CzKCatvnsiHgx9VoTJkxg1qxZjfFce3NqDPJ227I/8pGPJOOLFi1qjB1xxBHJsrk2/LvuuisZz10jkOovn+sz/r73vS8Zz42Jn9oukO5znpuKOifX1p2arjo3lv9jjz2WjOfGtF+2bFkynmpnnzFjRrLsySef3BhLvV8D2bNvBS6OiMOBE4CLJB0OXArcGxGHAvfW982sS2WTPSLWRMSj9e2NwFJgOnA6cH39tOuB9KVWZtZRv9FvdkkzgGOAnwNTImJNHVpLdZhvZl1qwMkuaTxwC/C5iHi5NRbVBfb9XvcuaZ6kXkm9ueuRzWz4DCjZJe1Kleg3R8QP64fXSZpax6cC/c6UFxE9ETEzImaOGTNmKOpsZoOQTXZVpw2vBZZGxNdbQrcB59a3zwV+PPTVM7Ohku3iKmkW8CCwCOgb4/Yyqt/t3wfeDTxD1fT2Qua12upPm+oueeqppybLPv7448l4rolp06ZNjbFcl8Rddkm3cOaGDp49e3YyvmTJksbY4Ycfniyb6jYM+aGic1Nhb968uTGWG2L7sMMOS8YfffTRZPzYY49tjN1+++3JsrmmuVSzHsAnP/nJZPyRRx5pjKWa5QBuvvnmxthNN93E2rVr+32BbDt7RPwMaFp6c4OfmXUVX0FnVggnu1khnOxmhXCymxXCyW5WCCe7WSG6aijpdtx///3J+Msvv5yM57qCnnXWWY2xBx98MFl2jz32SMZz0//mrhFIXYZ8zDHHJMvmzJ8/PxnPtTenPl+5abRz1yfk2sJTXYtzl27nrm245pprkvFx48Yl42PHjm2M5brPXnnllY2xO+64g+eff95DSZuVzMluVggnu1khnOxmhXCymxXCyW5WCCe7WSF2qHb2VJ/1VF93yA95/NxzzyXjqf7uufbiXN/mXN/qXHvz6NGjG2Mf+9jHkmXvueeeZDzXVz83BHdvb++gX/uoo45KxhcuXJiMp/qF56YHz8mNupQboyA1VXZuvc4+++xkPCLczm5WMie7WSGc7GaFcLKbFcLJblYIJ7tZIZzsZoUY8Xb2UaOav19ybZPt+OhHP5qMf+lLX0rG991338bYhAkTkmX32WefZDxny5YtyXiunT9l/fp+J/J5S+7zsXr16mQ89Z6mxuIHmDt3bjJ+xx13JOOpuuf64ee2eepzDHD33Xcn40uXLm2MPfTQQ8myOW5nNyuck92sEE52s0I42c0K4WQ3K4ST3awQTnazQgxkfvYDgBuAKUAAPRFxlaQrgAuBDfVTL4uIZMPncI4b30m5ecQnT56cjOfmhl+8ePGgl59rT87Nz247nqZ29uz87MBW4OKIeFTSnsAjkvquGPhGRHx1qCppZsMnm+wRsQZYU9/eKGkpMH24K2ZmQ+s3+s0uaQZwDPDz+qHPSloo6duSJjaUmSepV1Lz+ERmNuwGnOySxgO3AJ+LiJeBbwKHAEdT7fm/1l+5iOiJiJkRkZ7QzMyG1YCSXdKuVIl+c0T8ECAi1kXEtoh4E/gWcNzwVdPM2pVNdlVDdF4LLI2Ir7c8PrXlaWcC6VPGZtZRA2l6mwU8CCwC+vorXgacQ3UIH8AK4DP1ybzUa+2UTW9m3aSp6W2HGjfezPLcn92scE52s0I42c0K4WQ3K4ST3awQTnazQjjZzQrhZDcrhJPdrBBOdrNCONnNCuFkNyuEk92sEE52s0IMZHTZofQc8EzL/cn1Y92oW+vWrfUC122whrJuBzYFRrQ/+zsWLvV269h03Vq3bq0XuG6DNVJ182G8WSGc7GaF6HSy93R4+SndWrdurRe4boM1InXr6G92Mxs5nd6zm9kIcbKbFaIjyS5pjqQnJC2TdGkn6tBE0gpJiyQt6PT8dPUceuslLW55bJKkuyX9qv7f7xx7HarbFZJW19tugaTTOlS3AyT9h6Qlkh6X9Bf14x3ddol6jch2G/Hf7JJGA08CpwCrgF8A50TEkhGtSANJK4CZEdHxCzAknQRsAm6IiN+qH7sSeCEivlx/UU6MiM93Sd2uADZ1ehrveraiqa3TjANnAOfRwW2XqNfZjMB268Se/ThgWUQ8HRGvA/8MnN6BenS9iHgAeGG7h08Hrq9vX0/1YRlxDXXrChGxJiIerW9vBPqmGe/otkvUa0R0ItmnAytb7q+iu+Z7D+Cnkh6RNK/TlenHlJZpttYCUzpZmX5kp/EeSdtNM941224w05+3yyfo3mlWRBwLnApcVB+udqWofoN1U9vpgKbxHin9TDP+lk5uu8FOf96uTiT7auCAlvv71491hYhYXf9fD/yI7puKel3fDLr1//Udrs9bumka7/6mGacLtl0npz/vRLL/AjhU0kGSxgB/CNzWgXq8g6Rx9YkTJI0Dfpfum4r6NuDc+va5wI87WJe36ZZpvJumGafD267j059HxIj/AadRnZF/CvirTtShoV4HA4/Vf493um7A96gO696gOrfxZ8A+wL3Ar4B7gEldVLcbqab2XkiVWFM7VLdZVIfoC4EF9d9pnd52iXqNyHbz5bJmhfAJOrNCONnNCuFkNyuEk92sEE52s0I42c0K4WQ3K8T/A0l24F19iYGbAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "E4y_n9Zjk0Cg",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 299
        },
        "outputId": "b16edd07-887f-43a3-df01-4ef89d8c6c0f"
      },
      "source": [
        "aug = iaa.SaltAndPepper(0.2)\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])), cmap='gray',vmin = 0, vmax = 255)\n",
        "plt.title('Random 20% salt and pepper noise')"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Random 20% salt and pepper noise')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "m-y03oXDngcW",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 336
        },
        "outputId": "7ca03c6a-478b-4909-b254-17fcc0d6c479"
      },
      "source": [
        "plt.figure(figsize=(10,10))\n",
        "plt.subplot(121)\n",
        "aug = iaa.Dropout(p=0.2,)\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])), cmap='gray',vmin = 0, vmax = 255)\n",
        "plt.title('Random 20% pixel dropout')\n",
        "plt.subplot(122)\n",
        "aug = iaa.SaltAndPepper(0.2,)\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])), cmap='gray',vmin = 0, vmax = 255)\n",
        "plt.title('Random 20% salt and pepper noise')"
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Random 20% salt and pepper noise')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "khA0JNibph3U"
      },
      "source": [
        "seq = iaa.Sequential([\n",
        "      iaa.Dropout(p=0.2,),\n",
        "    iaa.Affine(rotate=(-30,30))], random_order= True)"
      ],
      "execution_count": 26,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OzAZsENWph8X",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 315
        },
        "outputId": "00c516b0-7053-443a-eadc-9e1298537224"
      },
      "source": [
        "plt.imshow(seq.augment_image(to_numpy(tr_images[0])), cmap='gray',vmin = 0, vmax = 255)\n",
        "plt.title('Image augmented using a \\nrandom orderof the two augmentations')"
      ],
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Image augmented using a \\nrandom orderof the two augmentations')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 28
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2Jsk4U1clQFh",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 315
        },
        "outputId": "7944eda8-3280-441f-c7b5-48d3622bb0a9"
      },
      "source": [
        "aug = iaa.GaussianBlur(sigma=1)\n",
        "plt.imshow(aug.augment_image(to_numpy(tr_images[0])), cmap='gray',vmin = 0, vmax = 255)\n",
        "plt.title('Gaussian blurring of image\\n with a sigma of 1')"
      ],
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Gaussian blurring of image\\n with a sigma of 1')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Z1iOo9DPTPrU"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}
